@article{23041, author = {{Kohlstedt, Andreas and Olma, Simon and Flottmeier, Sarah and Traphöner, Phillip and Jäker, Karl-Peter and Trächtler, Ansgar}}, journal = {{at-Automatisierungstechnik}}, number = {{5}}, pages = {{365--374}}, title = {{{Control of a hydraulic hexapod for a Hardware-in-the-Loop axle test rig}}}, volume = {{64}}, year = {{2016}}, } @inproceedings{23042, author = {{Lankeit, Christopher and Just, Viktor and Trächtler, Ansgar}}, booktitle = {{IEEE Systems Conference}}, title = {{{Consistency Analysis for Requirements, Functions, and System Elements}}}, year = {{2016}}, } @inproceedings{23043, author = {{Geneiß, Volker and Hedayat, Christian and Bertelsmeier, Fabian and Henke, Christian and Vathauer, Karl-Ernst and Geßner, Thomas}}, booktitle = {{Inproceedings of Smart Systems Integration 2016 International Conference and Exhibition on integration of materials, devices and systems}}, title = {{{Product Data and Sensor-based Intelligent Drive Control for Flexible Manufacturing and Intralogistic Processes}}}, year = {{2016}}, } @inproceedings{23044, author = {{Michael, Jan and Holtkötter, Jens and Henke, Christian and Trächtler, Ansgar}}, booktitle = {{ASIM-Treffen STS/GMMS 2016}}, pages = {{174--179}}, title = {{{Modellbildung und Simulation im Kontext des Systems Engineering}}}, year = {{2016}}, } @article{23045, author = {{Michael, Jan and Hillebrand, Michael and Wohlers, Benedict and Henke, Christian and Dumitrescu, Roman and Trächtler, Ansgar}}, journal = {{Renewable Energy and Power Quality Journal (RE&PQJ) 16}}, number = {{14}}, pages = {{359--364}}, title = {{{Implementing intelligent technical systems into smart homes by using model based systems engineering and multi-agent systems}}}, volume = {{1}}, year = {{2016}}, } @article{23046, author = {{Pai, Arathi and Riepold, Markus and Trächtler, Ansgar}}, journal = {{IFAC-PapersOnLine}}, number = {{21}}, pages = {{66–73}}, title = {{{Precision Control of SMA Actuators with a Real Time Model-Based Controller and Extended VSC}}}, volume = {{49}}, year = {{2016}}, } @book{23048, author = {{Föllinger, Otto and Konigorski, Ulrich and Lohmann, Boris and Roppenecker, Günter and Trächtler, Ansgar}}, publisher = {{VDE-Verlag}}, title = {{{Regelungstechnik }}}, year = {{2016}}, } @inproceedings{23049, author = {{Pai, Arathi and Riepold, Markus and Trächtler, Ansgar}}, booktitle = {{IEEE International Conference on Advanced Intelligent Mechatronics AIM}}, title = {{{A model extended temperature and strain controller modulated with PWM for precision position control of shape memory alloy actuators}}}, year = {{2016}}, } @inproceedings{23050, author = {{Kruse, Daniel and Warkentin, Andreas P. and Krüger, Martin and Trächtler, Ansgar and Rackow, Sascha}}, booktitle = {{Proc. 4. Internationales Commercial Vehicle Technology Symposium}}, title = {{{Multidomänenmodell zur Optimierung der Hydraulik eines Raupenlaufwerks für Landmaschinen}}}, year = {{2016}}, } @article{23051, author = {{Wuthishuwong, Chairit and Trächtler, Ansgar}}, journal = {{Complex & Intelligent Systems}}, pages = {{1--16}}, title = {{{Consensus-based local information coordination for the networked control of the autonomous intersection management}}}, volume = {{doi:10.1007/s40747-016-0032-6}}, year = {{2016}}, } @article{23052, author = {{Shareef, Zeeshan and Trächtler, Ansgar}}, journal = {{Robotica}}, number = {{06}}, pages = {{1322 -- 1334}}, title = {{{Simultaneous path planning and trajectory optimization for robotic manipulators using discrete mechanics and optimal control}}}, volume = {{34}}, year = {{2016}}, } @article{23053, author = {{Renninger, Johannes and Trächtler, Ansgar}}, journal = {{at-Automatisierungstechnik}}, number = {{5}}, pages = {{346--354}}, title = {{{Verbesserte Schätzung von Fahrdynamikgrößen durch Modellierung der Fahrwerks-und Lenkkinematik}}}, volume = {{64}}, year = {{2016}}, } @inproceedings{23054, author = {{Bockholt, Marcos and Katter, Michael and Pohl, Georg and Michael, Jan and Alpögger, Thomas}}, booktitle = {{3rd International Conference on System-integrated Intelligence: New Challenges for Product and Production Engineering}}, title = {{{A Tool Chain for Model-Based Development of Heat Pump Dryers}}}, year = {{2016}}, } @inproceedings{21687, abstract = {{The spare part industry in aerospace is highly demanding. For conventional manufacturing technologies it is difficult to meet these requirements. In contrast to that, the design freedom of Additive Manufacturing enables the production of complex and lightweight parts. The lack of experience with this technology hampers the decision where Additive Manufacturing can be economically applied. The cost drivers have to be newly evaluated and holistically investigated. Supply chain advantages have to be considered during the decision process, too. Therefore, aerospace characteristics are analyzed within the paper and a methodology based on Multi Attribute Decision Making (MADM) is introduced. To do so, the cost appraisal for Additive Manufacturing has to be detailed. Additionally, changes in the supply chain have to be identified and quantified. Quality criteria have to be taken into account as well. In the end it is shown how these influence factors can be combined to create a decision support. }}, author = {{Deppe, G. and Koch, R.}}, booktitle = {{27th Annual International Solid Freeform Fabrication Symposium }}, pages = {{81--92}}, title = {{{Supporting the Decision Process for applying Additive Manufacturing in the MRO Aerospace Business by MADM}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2016/006-Deppe.pdf}}, volume = {{27}}, year = {{2016}}, } @inproceedings{21688, abstract = {{Additive Manufacturing offers a great potential for the optimization of products. Therefore different approaches are feasible to exploit these potentials for elaborating optimal solutions. For example these include optimization of weight or stiffness of structural components as well as the integration of functions and other entities of assemblies. Note, however, that additive manufacturing processes have process specific limitations. Products, components and assemblies, as well as procedures for the design and production preparation must be optimized with regard to a successful additive manufacturing. The use of already known tools for the optimization and design needs to be reconsidered and adapted to theadditive manufacturing. This also includes the production planning with component orientation in build chamber as well as a necessary quality management system. This paper shows several ways for product optimization with additive manufacturing, often based on topology optimization, and procedures for information gathering, decision making and shape determination for part optimization for Additive Manufacturing.}}, author = {{Reiher, T. and Koch, R.}}, booktitle = {{27th Annual International Solid Freeform Fabrication Symposium }}, pages = {{2236--2249}}, title = {{{Product optimization with and for Additive Manufacturing}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2016/179-Reiher.pdf}}, volume = {{27}}, year = {{2016}}, } @inproceedings{21689, abstract = {{Additive manufacturing offers advantages for the production of a final product. Nowadays still many companies have not integrated this new technology into their product development processes (PDP). This paper will discuss additive manufacturing with regards to the current available PDP's while setting a focus on the economic aspects of the integration. Based on a sample part several tools will be discusses which may be uses in the different phases of product development. These tools aim on the simplification of integrating additive manufacturing technologies into existing PDP's. Included are methods for early and accurate cost estimation as well as product selection processes, best practice templates for creating knowledge and process awareness.}}, author = {{Lindemann, C. and Koch, R.}}, booktitle = {{27th Annual International Solid Freeform Fabrication Symposium }}, pages = {{93--112}}, title = {{{Cost Efficient Design and Planning for Additive Manufacturing Technologies}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2016/007-Lindemann.pdf}}, volume = {{27}}, year = {{2016}}, } @book{21698, abstract = {{Additive Manufacturing (AM) has been growing rapidly with doubledigit growth rates during the last years and a rising trend towards end products. The further development of the technology highly depends on some critical success factors. For the future, it is vital to know which innovations will be necessary to satisfy the needs of industry. The impulsive forces will be those branches whose special characteristics are met by AM. Within the DMRC study “Thinking ahead the Future of Additive Manufacturing – Analysis of Promising Industries” (Gausemeier 2011), especially aircraft production, automotive production and the electronics industry have been identified as very promising to profit from the use of AM. Experts have selected these branches by assessing the prospective attractiveness of current application fields. Those branches are characterized by low quantities, complex part designs, lightweight design and/or high unit prices. For the aerospace industry, all four elements are of high relevance, which is why it has been a pioneer in applying and developing AM technology since the early beginning (Gausemeier 2011 and 2012). }}, author = {{Lindemann, C. and Deppe, G. and Koch, R.}}, isbn = {{978-3-7316-1156-1}}, pages = {{283}}, publisher = {{Metropolis Verlag}}, title = {{{Scenario Based Outlook of Additive Manufacturing Applications for the Aerospace Market}}}, year = {{2016}}, } @book{21699, abstract = {{Additive Manufacturing (AM) is often deemed to be a driver for product piracy in public media. The reasons for this are mainly seen in the fact that it provides a possibility to easily copy three-dimensional objects when used in combination with scanning technologies. This contribution will not focus on the knowledge and skills needed to master AM technology but on its potential contribution to prevent product piracy and reverse engineering. The reverse engineering process will be analyzed to understand the practice of imitators and to transfer the characteristics of AM into specific measures. Finally a five-step methodology is presented which can be used as a guideline to implement protection measures in products to be (re-) developed. This guideline is supposed to be used by industrial companies since an expert survey has identified them as being very likely to profit from the use of AM (Echterhoff et al. 2011). }}, author = {{Jahnke, U. and Koch, R.}}, isbn = {{978-3-7316-1156-1}}, pages = {{283}}, publisher = {{Metropolis Verlag}}, title = {{{Prevention of Product Piracy - Potentials of Additive Manufacturing}}}, year = {{2016}}, } @inproceedings{217, abstract = {{Today, cloud vendors host third party black-box services, whose developers usually provide only textual descriptions or purely syntactical interface specifications. Cloud vendors that give substantial support to other third party developers to integrate hosted services into new software solutions would have a unique selling feature over their competitors. However, to reliably determine if a service is reusable, comprehensive service specifications are needed. Characteristic for comprehensive in contrast to syntactical specifications are the formalization of ontological and behavioral semantics, homogeneity according to a global ontology, and a service grounding that links the abstract service description and its technical realization. Homogeneous, semantical specifications enable to reliably identify reusable services, whereas the service grounding is needed for the technical service integration. In general, comprehensive specifications are not availableand have to be derived. Existing automatized approaches are restricted to certain characteristics of comprehensiveness. In my PhD, I consider an automatized approach to derive fully-fledged comprehensive specifications for black-box services. Ontological semantics are derived from syntactical interface specifications. Behavioral semantics are mined from call logs that cloud vendors create to monitor the hosted services. The specifications are harmonized over a global ontology. The service grounding is established using traceability information. The approach enables third party developers to compose services into complex systems and creates new sales channels for cloud and service providers.}}, author = {{Schwichtenberg, Simon}}, booktitle = {{Proceedings of the 38th International Conference on Software Engineering Companion (ICSE)}}, pages = {{815--818}}, title = {{{Automatized Derivation of Comprehensive Specifications for Black-box Services}}}, doi = {{10.1145/2889160.2889271}}, year = {{2016}}, } @inproceedings{21702, abstract = {{Nowadays, the material efficiency and part reliability are two majorissues in product development. Thus a product optimization often requires complex structures that are hard to be manufactured conventionally. Additive Manufacturing (AM) however offers great potentials for producing complex shaped parts economically. Different approaches are feasible to exploit these potentials based on the part’s application from shape optimization of structural components to the integration of functions and other entities of assemblies. Several parameters are defined that influence the costs and quality of the future product and carefully have to be balanced. To do so, the use of already known tools for the optimization and design needs to be reconsidered and adapted to the special characteristics of AM. As not all optimization potentials can be realized perfectly, a decision methodology is required to obtain the relevant potentials and to get to a trade-off between all requirements including the ecological impact. The paper shows different approaches for product optimization with AM and procedures for decision making in order to get to the optimal solution.}}, author = {{Reiher, T. and Deppe, G. and Koch, R.}}, booktitle = {{International Conference Production Engineering and Management 2016}}, isbn = {{978-3-946856-00-9}}, pages = {{27--38}}, title = {{{Combining material efficiency and part reliability by product optimization applying additive manufacturing}}}, doi = {{https://www.th-owl.de/elsa/download/333/334/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf}}, volume = {{6}}, year = {{2016}}, }